Data Set

The professor suggested that it would be more efficient to download the datasets directly using the provided links on the website. However, the source of the datasets was set up in a way that did not allow for copying the links. As a result, I had to download the datasets directly from the website. The datasets used in this study include: ‘What causes contribute to mortality rates in Luxembourg’, ‘Non communication in Luxembourg’, and ‘Population by age group’. The links for these datasets are as follows: What causes contribute to mortality rates in Luxembourg, from the website “platform.who” , Non communication in Luxembourg, and Population by age group, source “ourworldindata.org”.



Examining Temporal Trends and Gender Disparities in Mortality Rates, 1960-2021.

The objective of this study is to investigate the temporal dynamics of mortality rates from 1960 to 2021, encompassing individuals of all age groups. A key focus of the analysis will be to assess potential disparities in mortality rates between males and females.

We notice that in Luxembourg, the mortality rate was very high in 1960.because in Luxembourg there have been several epidemics that could affect lives.However, from 1960 to 2020, this rate has decreased. This makes sense, because Luxembourg has adopted more modern treatment methods.



We shall now analyze some major causes of mortality in luxembourg and how these causes have affected different age groups.

# A tibble: 193 × 2
   Indicator_Name                            n
   <chr>                                 <int>
 1 All Causes                             2703
 2 Appendicitis                           2703
 3 Birth asphyxia and birth trauma        2703
 4 Breast cancer                          2703
 5 Cardiovascular diseases                2703
 6 Cataracts                              2703
 7 Cerebrovascular disease                2703
 8 Childhood-cluster diseases             2703
 9 Chronic obstructive pulmonary disease  2703
10 Cirrhosis of the liver                 2703
# … with 183 more rows

We have identified some of the major causes of mortality in Luxembourg over the years. According to our data, the number of deaths due to non-communicable diseases is quite high.

Deaths from cardiovascular diseases and cancer have been steadily decreasing, which may be due to improvements in sanitation infrastructure.

Cancer deaths appeared to be low in the years 2004, but then saw an increase around 2005 until 2021. This could be due to outbreaks of cancer or the aging of the Luxembourg population.

It is worth noting that the population of Luxembourg has been aging over this time period.



Given that non-communicable diseases are the leading cause of death,it’s important to visualize the impact of these conditions on mortality by age group. This will allow us to identify which age brackets are most affected.

Here we plot the number of deaths from non-communication diseases for different age groups. From the graph, we can understand that the number of deaths due to non_communication issues is maximum for the age groups from 0 and also age groups between 54 and 74 years old. We also note that the number of deaths due to non-communication of illnesses is down slightly for the young population. The top no.

child deaths may be due to the fact that children of this age are not strong enough to resist this disease. It is noted that the number of deaths is also relatively higher among the elderly than among middle-aged adults. This may be the case with older people who do not have strong immunity against non-communication diseases.



We have determined that this disease disproportionately affects older individuals. As such, it is important to visualize how this disease has contributed to mortality trends from 1960 to 2021.

Our analysis has shown that the 70-year age group has consistently had the highest number of mortality cases from 1967 to 1980.



To fully understand the impact of non-communicable diseases on the 70+ population in Luxembourg, it is necessary to compare the mortality rates in this age group to those of similar populations in other countries

Our analysis has shown that the 70-year age group has consistently had the highest number of mortality cases from 1967 to 1980 in Europe.



Checking the age categories of the population in Europe from 1967 to 1980 could be important for understanding the prevalence of non-communicable diseases (NCDs) in this population during that time period.

This is because NCDs, such as heart disease, stroke, and cancer, are often more common in older age groups. By examining the age distribution of the population, We can determine whether the observed prevalence of NCDs in the population is due to the higher proportion of older individuals in the population, or whether other factors are also contributing to the observed prevalence of NCDs.

Based on this visualization, it is likely that you will observe that the median age of the population in some countries was higher than in Luxembourg during the 1967-1980 time period. This suggests that mortality due to non-communicable diseases was not solely caused by the aging of the population in these countries, but may also have been influenced by other factors such as genetics, lifestyle, and environmental exposures. From this information, it is possible to conclude that mortality due to non-communicable diseases was not only caused by the aging of the population in these countries during this time period.